Applications of evolutionary computation in image processing and pattern recognition /
Erik Cuevas; Daniel Zaldívar; Marco Pérez-Cisneros
- Cham : Springer, 2016.
- xv, 274 pages : illustrations (some color) ; 25 cm.
- Intelligent systems reference library, v. 100. .
Introduction -- Image Segmentation Based on Differential Evolution Optimization -- Motion Estimation Based on Artificial Bee Colony (ABC) -- Ellipse Detection on Images Inspired by the Collective Animal Behavior -- Template Matching by Using the States of Matter Algorithm -- Estimation of Multiple View Relations Considering Evolutionary Approaches -- Circle Detection on Images Based on an Evolutionary Algorithm that Reduces the Number of Function Evaluations -- Otsu and Kapur Segmentation Based on Harmony Search Optimization -- Leukocyte Detection by Using Electromagnetism-Like Optimization -- Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms.